Engineering Manager, Research Productivity

job-boards.greenhouse.io- JobBoard; San Francisco (CA); On-site; USD 80,000 - 120,000; Full time

Job summary

Anthropic seeks a manager for its Research Tools team in San Francisco, CA. You will support a team of machine learning experts to enhance productivity and efficiency in research tools and infrastructure.

The ideal candidate has at least 2 years of management experience, strong project management skills, and is passionate about the transformative potential of AI. The role includes recruiting efforts and collaboration with multiple teams.

Annual compensation ranges from $1 to $2 USD.

Qualifications

• At least 2 years of experience in active people management.
• Experience with research teams in a production pipeline.

Responsibilities

• Support fast iteration on research projects and training runs.
• Design effective team processes for operations.
• Coach and support team members for professional growth.
• Manage recruitment efforts efficiently.

Skills

People management

Project management

Collaborative prioritization

Coaching and mentorship

Education

Bachelor’s degree or equivalent

Job description

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role:

Anthropic’s Research Tools team builds systems that support our large-scale, distributed finetuning runs and improve the productivity of researchers. As a manager, you’ll support a team of machine learning and distributed systems experts to make these systems and tools highly efficient, support fast iteration on model development and research, and evolve the infrastructure continuously to incorporate new research advances.

Our Research Tooling sits at the intersection of almost every technical group at Anthropic. You’ll work with research teams to incorporate their innovations into our production finetuning pipeline, product teams to help us iterate quickly on customer-oriented model improvements, and infrastructure teams to make sure our training runs and data pipelines are as efficient as possible.

About Anthropic:

Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product.

Responsibilities:

• Prioritize the team’s work in collaboration with the technical lead, research teams, and product teams to support fast iteration on research projects and training runs.
• Design processes (e.g., postmortem review, incident response, on‑call rotations) that help the team operate effectively.
• Coach and support your reports to understand and pursue their professional growth.
• Run the team’s recruiting efforts efficiently, ensuring we can grow as quickly as we need through a period of rapid growth.

You may be a good fit if you:

• Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well.
• Are an experienced manager (at least 2 years) and actively enjoy people management.
• Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you’ll need to understand (at a high level) to be effective.

Strong candidates may also have:

• Experience working with research teams, especially as part of a “research to production” pipeline.
• Strong people management experience: Coaching, performance evaluation, mentorship, career development.
• Strong project management skills: Prioritization, communicating across team/org boundaries.
• Experience recruiting for your team: Predicting staffing needs, designing interview loops, evaluating candidates, and closing them.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

Compensation: $1 - $2 USD

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas. However, we may not be able to sponsor every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa.

Equal Employment Opportunity

As set forth in Anthropic’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.